1. 109 207 246 Dark 1 255 Light 1 131 56 155 Dark 2 0 99 190 Light 2 85 165 28 Accent 1 214 73 42 Accent 2 185 175 164 Accent 3 151 75 7 Accent 4 193 187 0 Accent 5 255 221 62 Accent 6 255 Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple 25 % 255 242 171 Yellow 50 % 255 249 213 Yellow 25 % 229 205 186 Brown 50 % 248 241 235 Brown 25 % 180 213 154 Green 50 % 214 231 200 Green 25 % 241 240 202 Light Green 50% 251 241 Light Green 25% Title and Content IIT Mumbai – First and Last Leg Optimization CONFIDENTIAL May, 2012

2. Freight Flow -1 Pickup Delivery

3. Freight Flow -2 CFS Origin Port CFS/ Destination Warehouse CFS/ Destination Warehouse Destination Port Seller Customers

4. Freight Flow - 3

5. Trucking Industry Level Challenges  Infrastructure Issues and Challenges –Congestion –Operational inefficiencies –Non standard trucks –Under utilization of infrastructure available. –Supply demand mismatch  Institutional Issues –Highly Fragmented industry –Manual, non-uniform or discrete processes across the industry –Non-availability of Quality manpower  Technological Issues –Old technology –Adoption of new technologies is expensive –No clear Return on Investments for New Technologies –Manual processes leading to operational inefficiencies

6. Solutions and Strategies (Largely Capital intensive)  Vehicle Size and Delivery Time Regulations  Load Consolidation and Load Factor Efficiency (Load consolidation, or co-loading)  Urban Distribution Centers  Freight Villages - Different from urban distribution centers, but similar in concept. Freight villages are planned unit developments specifically designed for multi-modal freight transfer within a secured perimeter.  Delivery Tunnels - In Helsinki, freight tunnels for underground trucking are planned  Dedicated freight corridors – are they really helping urban areas ? 6

7. Inefficiencies in the current process  Pickup driver has to visit the terminal to collect the list of pickups  Planning for linehaul, cross-docking, resource requirements, delivery plans etc are not possible till the goods reaches to the terminal  There is no update on the status of delivery till the driver reports back to the terminal.  This process is time consuming and lead to inefficiencies such as missed pickups and missed appointments, excessive waiting times during pickups and deliveries resulting in additional driver hours and under utilization of trucks postponing pickups additional kilometers operated by drivers thus additional fuel consumption and choking of traffic no clue on the traffic situation on the network – no route guidance 7

8. Solution Components and Business Model 8 Vehicle Tracking System - Telematics Pickup and Delivery Management System – to plan the pickups and deliveries Handheld Mobile devices – Scanner, data logger etc Route Planner to generate optimal routes Central Server and communication systems Transportation Management System Platform based solution From Trucking companies Perspective Trucking company can register with minimum fee Trucking companies can pay as per use Opex and No capital investments – Transaction based Can withdraw when not required No technology skills required Improved visibility of shipments, high asset utilisation, less fuel costs and customer satisfaction From Service Provider perspective Multiple trucking companies can be hosted on single software platform. Other services such as reports, performance indicators can be sold as value added services From City/Governance perspective Less Pollution and congestion Real time and accurate data for traffic alerts Trustworthy and huge volume of data for / Freight Modelling/ infrastructure planning and real time decisions Solution Components Benefits

9. Overview – An example for Auto Route Generation 9

10. As-Is Routes 10 Features considered Routes are planned for a region. A truck will be assigned/reserved for route Static route is generated by the route planner Dispatcher assigns new stops to the route manually as and when new orders are to be handled 4 Trucks Deployed Total Truck KM126 Parameters for comparison

11. To-Be Routes 11 Features considered No region based routes Routes will be developed as per the order/stop locations Algorithm based route generation Optimises the number of trucks required rather than the truck-km 3 Trucks Deployed Total Truck KM135 Parameters for comparison

12. Data for Analysis 12 Available Data for Analysis Driver Data Equipment Data Order Data Trip Data Stop Data (including Stop to Stop Distance Data) Output Expected Optimized Route with route parameters

13. Business Benefits 13 Reduced P&D Costs (They represent around 30% of total cost in the case of road based movement) Improved Route Planning Effective Equipment utilization Effective Utilization of Drivers

14. 109 207 246 Dark 1 255 Light 1 131 56 155 Dark 2 0 99 190 Light 2 85 165 28 Accent 1 214 73 42 Accent 2 185 175 164 Accent 3 151 75 7 Accent 4 193 187 0 Accent 5 255 221 62 Accent 6 255 Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple 25 % 255 242 171 Yellow 50 % 255 249 213 Yellow 25 % 229 205 186 Brown 50 % 248 241 235 Brown 25 % 180 213 154 Green 50 % 214 231 200 Green 25 % 241 240 202 Light Green 50% 251 241 Light Green 25% Title and Content Thank You http://www.tcs.com CONFIDENTIAL May, 2012